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text model · Qwen3 · Windows

Can I run Qwen3 14B on Nvidia GeForce RTX 3060 (12GB)?

Compatibility verdict VRAM threshold engine
Yes, but tight GPU accelerated ~26 tok/s est.

Yes. Qwen3 14B runs on Nvidia GeForce RTX 3060 (12GB) at Q4_K_M (~10.7 GB of ~11 GB usable).

Needs ~10.7 GB Device usable ~11 GB

Fits at Q4_K_M (~10.7 GB of ~11 GB usable) but with little headroom. Close other apps; a smaller context frees a few hundred MB.

That figure is at a 4k context and moves about ±15% as context length changes. Nvidia GeForce RTX 3060 (12GB) leaves ~0.3 GB of headroom.

Q4_K_M needed
~10.7 GB
Usable on device
~11 GB
Device memory
12 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~11 GB usable
Q2_K
~7.6 GB
Q3_K_M
~8.5 GB
Q4_K_M
~10.7 GB
Q5_K_M
~11.7 GB
Q6_K
~13.2 GB
Q8_0
~17.4 GB
FP16
~31.7 GB
The line marks Nvidia GeForce RTX 3060 (12GB)'s ~11 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~170 W
Electricity / 1M tokens
~$0.27
Pays for itself after
~1,430M tok

At ~$0.15/kWh and the estimated ~26 tok/s, a million generated tokens costs about $0.27 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$329 Nvidia GeForce RTX 3060 (12GB) pays for itself after roughly 1,430 million tokens, so local hardware is mostly a fixed cost, not a per-token one. TDP is the peak draw, so this is an upper bound. Assumptions.

Run it

Install commands Windows

Pick your tool. All 3 load the same Q4_K_M weights.

Ollama
$ ollama run qwen3:14b
llama.cpp
$ llama-cli -hf Qwen/Qwen3-14B-GGUF:Q4_K_M
LM Studio
$ lms get Qwen/Qwen3-14B-GGUF
Model Qwen3
Parameters
14B
Q4_K_M size
9 GB
Q8_0 size
15.7 GB
Context
32k
Ollama tag
qwen3:14b
Full Qwen3 14B requirements →
Device Windows
Memory
12 GB vram
Usable for weights
~11 GB
Power draw
~170 W
Best runtime
Ollama (CUDA) / llama.cpp CUDA
Best models for Nvidia GeForce RTX 3060 (12GB) →

You could also run

Run Qwen3 14B on other hardware

FAQ

Can Nvidia GeForce RTX 3060 (12GB) run Qwen3 14B?

Yes. Qwen3 14B runs on Nvidia GeForce RTX 3060 (12GB) at Q4_K_M (~10.7 GB of ~11 GB usable).

How much memory does Qwen3 14B need?

It is a tight fit on Nvidia GeForce RTX 3060 (12GB). At Q4_K_M the weights are ~9 GB; with KV cache and runtime overhead, budget ~10.7 GB at a 4k context.

What is the best tool to run Qwen3 14B on Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.